ICA preprocessing & source localization for EEG. Please read wiki for detailed info:
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Updated
Sep 4, 2016 - MATLAB
ICA preprocessing & source localization for EEG. Please read wiki for detailed info:
TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.
Real-time EEG source localization based on Smarting mBrainTrain EEG headset and implemented in Matlab.
Voice Assistant Project
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Robotic Voice Assistant equipped with Binaural Audio Project
Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
Source localization and connectivity analysis of high-density EEG data
Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction
Acoustic source localisation implementation
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
The code of paper "A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation" of the Web Conference 2022 (WWW 2022).
The code of paper "A lightweight source localization in the early propagation stage".
FP-AUD-SMARTMIC1 provides a firmware running on STM32 which acquires audio signals of four digital MEMS microphones, elaborates them by means of embedded DSP libraries and streams the processed audio to both an USB host and a loudspeaker connected to the relevant expansion board.
SDENet as Uncertainty Quantification Method for EEG Source Localization
pyCAPLunar is a python package to determine the moment tensor of earthquake sources and their uncertainty by using the 3D receiver-side SGT database.
This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.
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